Marco Trincavelli
Papers
17
Total Citations
665
H-Index
13
About
Marco Trincavelli is a pioneering researcher in mobile robotics and environmental sensing, whose work has fundamentally advanced the field of robotic olfaction — the science of equipping robots with gas-sensing capabilities. His most celebrated contribution, the Kernel DM+V algorithm (2009, 153 citations), established a robust statistical framework for modeling gas distributions in two-dimensional space, becoming a cornerstone reference for researchers in the field. Building on this foundation, Trincavelli systematically tackled increasingly complex real-world challenges: localizing gas emission sources on landfill sites, discriminating between multiple chemical compounds in heterogeneous environments, and developing coverage planning strategies for remote gas sensing. A particularly notable achievement is his development of Gasbot (2013), an autonomous robotic platform designed to detect methane leaks in landfills and biogas facilities using 3D sensing and gas tomography principles. His bio-inspired approaches to gas source localization further demonstrate his interdisciplinary creativity, drawing on animal behavior to solve computationally demanding navigation problems. Across more than ten influential publications accumulating over 580 citations, Trincavelli has consistently bridged theoretical algorithm design with practical environmental monitoring applications, making autonomous gas detection both scientifically rigorous and industrially viable.
Research Focus
Key Achievements
Top Papers
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- 3Towards environmental monitoring with mobile robots84 citations · 2008
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- 7Gas Discrimination for Mobile Robots36 citations · 2011
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